Y Combinator Fall Intern - AI/ML Engineering
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Summary
Build and train ML models for uranium discovery using AI, working hands-on with the Terranox team in San Francisco.
About Terranox
We're the first AI-powered uranium discovery company. Nuclear is the only clean, scalable, and baseload energy source available today, and we’re structurally short on uranium. We're addressing that by applying AI/ML to a discovery process that hasn't fundamentally changed in decades.
Backed by General Catalyst, 776 Ventures, Y Combinator, and others.
The role
You'll spend the fall embedded with our team, working on novel ML problems at the core of what we're building. With a strong fit, this internship can lead to a full-time offer.
Requirements
- Currently pursuing a degree in CS, ML, or a related field
- Strong ML fundamentals and practical experience training models
- Comfortable in Python and the modern ML stack
- Track record of building things (coursework, side projects, open source, prior internships)
Bonus but not required
- Experience with computer vision
- Experience with foundation models or self-supervised learning
- Prior internship at a startup
Logistics
- In-person in San Francisco